Multi-Scale and Multi-Level Brain Simulation

In the neuromorphic domain, most simulations and hardware implementations are done on spiking neuron level. This limits the spatial and temporal scales accessible under practical considerations. In this discussion group, we want to explore what abstraction levels in brain modeling exist, how they could interact, and which use cases and scientific questions require a combination of different abstraction levels. At the same time, we want to look into practical considerations when combining different abstraction levels in simulation and hardware implementation.
Some questions we could look into are:
- What are the most severe limitations of the spiking neuron level and which other abstraction levels could help overcoming those constraints?
- Which scientific problems necessitate a multi-level approach (an extreme case would be e.g. linking psychological findings to molecular processes)?
- How well established are the links between different abstraction levels? Are there modeling gaps? How expressive are findings based on multi-level simulations?
- How can multi-level simulations be achieved practically?
- How would multi-level models be implemented on neuromorphic hardware? How should that hardware look like?

Go to group wiki


Day Time Location
Wed, 25.04.2018 22:00 - 22:00 Sala Panorama
Fri, 27.04.2018 21:00 - 22:00 Lecture Room
Tue, 01.05.2018 19:00 - 20:00 Sala Panorama


Christian Mayr
Johannes Partzsch


Ismael Tito Freire González
Charlotte Frenkel
Christian Jarvers
David Kappel
Sepp Kollmorgen
Dongchen Liang
chen liu
Christian Mayr
Timo Oess
Johannes Partzsch
Alpha Renner
Saray Soldado Magraner
Michiel Van Dyck
Aaron Voelker
Xi Wu
Yexin Yan
Guido Zarrella
Ali Zeinolabedin